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3rd International Conference on mechatronics and Automation Technology, ICMAT 2024

作者： Wang, Xiaofei Xu, Jinyou Xue, Yahong Zhang, Runfeng Hao, Tianze Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology China

ISBN: (纸本)9781643685649

In recent years, the virtual reality technique has been widely used in many fields. One of the most popular applications is for generating virtual models that can be operated on the screen. In the paper, three methods of obtaining virtual models are introduced. One method is by scanning the quick response code. Another method is the use of CADbro software. The third way is to develop an app to help the digital world emerge in real-life scenarios. With the help of virtual technology, ways of teaching, modes of production, and film production are changing. The three methods mentioned in the paper make it easy to generate virtual models for people to operate on mobile devices. Virtual models generated by the three methods can be operated by touching the screen or operating the mouse, whenever and wherever. © 2024 The Authors.

关键词： Virtual environments

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design of the Slave Hand Structure and Interference Detection for the Master-Slave Craniotomy Surgical Robot 2

Design of the Slave Hand Structure and Interference Detectio...

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2nd International Conference on intelligent Equipment and Special Robots, ICIESR 2023

作者： Zhao, Lei Zhang, Guobin Li, Zehua Liu, Zhenzhong Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin300384 China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin China

ISBN: (纸本)9781643685144

Existing neurosurgical robots are prone to interfering with each other in a narrow operating space due to the overlapping of several arms, which poses a great safety risk during surgery. In this paper, a 7-DOF dual-arm robot is designed to cooperate with the surgeon to complete craniotomy by manipulating the master hand mechanism. Aiming at the pain point that two real-time dynamic slave hands are prone to interference, this paper establishes a simplified model of the robot envelope, and transforms the interference detection problem between the robots into the interference checking of geometric primitives. If the interference between the two arms is detected by the algorithm, the surgical path of the current robotic arm is immediately terminated to ensure the safety of the surgery. Finally, the algorithm is simulated and verified with the robot designed in this paper. The results show that the algorithm is feasible and has high computational efficiency. © 2024 The Authors.

关键词： Structural design

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Flow Field Simulation and Nozzle Parameter Optimization of Rust Removal Robot Based on High-Pressure Water Jet Technology 1

Flow Field Simulation and Nozzle Parameter Optimization of R...

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1st International Conference on Applied Physics and Mathematics, ICAPM 2023

作者： Peng, Wei Ma, Yue Li, Bin Wang, Xinjie Peng, Pai Wang, Jinyuan Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin300384 China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin China

To enhance the safety and longevity of large ships, employing high-pressure water jet technology for rust removal is crucial in this article, the qualitative relationship among the key parameters of high-pressure water jet rust removal is analyzed theoretically. Secondly, the flow field simulation is carried out using Computational Fluid Dynamics (CFD) software to verify the relationship among the key parameters. Finally, the influence of different nozzle length-diameter ratios on jet characteristics is analyzed. The simulation results show that the nozzle end length is 0 mm and the nozzle diameter is 1mm for the straight-cone convergent nozzle with a shrinking angle of 30° when the diameter of the length-diameter ratio remains unchanged and the length of the nozzle end is changed. Simultaneously, the highest values are observed for the nozzle exit velocity and the impact force on the target surface. The impact range of target shear force takes the maximum value when the length-diameter ratio is 1. Further, by changing the length of the nozzle-end and the nozzle diameter in the length-diameter ratio, the influence on the jet characteristics can be concluded that the nozzle diameter has a greater influence on the nozzle exit velocity than the nozzle-end length. On this basis, the optimized nozzle parameters can be obtained i.e., the nozzle-end length is 1 mm and the nozzle diameter is 1 mm, such that the effective striking area of the jet is the largest and the striking effect is the best. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Computational fluid dynamics

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KINEMATICS ANALYSIS AND TRAJECTORY PLANNING OF ABB-IRB2400 ROBOT

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UPB Scientific Bulletin, Series D: Mechanical Engineering 2022年第2期84卷 3-16页

作者： Zheng, Qingchun Jia, Jingjing Zhu, Peihao Xiao, Yinhong Zhang, Fudong Ma, Wenpeng Zhao, Shuoshuo Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control Tianjin University of Technology Tianjin300384 China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology China

According to the parameters of the ABB-IRB2400 robot model, the D-H parameter method is used to establish the robot’s linkage coordinate system and determine the parameter values. The coordinate transformation matrix06T of IRB2400 robot is obtained through forward kinematics analysis, and the inverse kinematics transformation method is used to solve the joint variables of the robot. The feasibility and correctness of the forward and inverse kinematics of the robot are verified by modeling the robot entity and importing ADAMS simulation analysis software. Combining MoveIt’s robot kinematics solver and RRT algorithm motion planning library, RVIZ is used to verify the feasibility of correlation trajectory algorithm for linear and arc interpolation trajectory planning of robot arm, which provides a foundation for weld grinding robot trajectory planning under complex working conditions. © 2022, Politechnica University of Bucharest. All rights reserved.

关键词： Inverse kinematics

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Vibration Absorption of Nonlinear Energy Sink for Non-resonant Frequency Band of Rectangular Plate

Vibration Absorption of Nonlinear Energy Sink for Non-resona...

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International Conference on Applied Nonlinear Dynamics, Vibration, and control, ICANDVC 2023

作者： Wu, Jie Chen, Jianen Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin300384 China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin300384 China

ISBN: (纸本)9789819705535

In this paper, a nonlinear energy sink (NES) is designed to suppress the vibrations of a rectangular plate, where the vibrations within a non-resonant band of the plate are mainly investigated. The selected frequency range is 9–11 Hz with a loading frequency interval of 0.5 Hz. The harmonic excitation experiments with fixed frequency are conducted within the non-resonant band to obtain its amplitude-frequency curves. The results indicate that the NES always has effective vibration absorption with the variations in NES mass and spring stiffness under low excitation accelerations. However, the rectangular plate exhibits a higher branch of response within the low-frequency range under high excitation accelerations. Metrics such as the effective value of response acceleration and the vibration level are introduced to evaluate the experimental results to analyze the vibration absorption of the NES. The study reveals that optimal performance is achieved when a non-weighted NES with a spring having a wire diameter of 1.2 mm and an external diameter of 10 mm is attached to the rectangular plate. This device yields a reduction of vibration level by 7.29 dB. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Rectangular plate

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Research on intelligent Fault Diagnosis Method of Planetary Gearbox based on ITD and CNN 15

Research on Intelligent Fault Diagnosis Method of Planetary ...

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15th IEEE Global Reliability and Prognostics and Health Management Conference, PHM-Beijing 2024

作者： Zhu, Songsong Chen, Jiwei Xie, Ruitong Song, Yuhao Zhang, Mian Zhao, Mengxiong Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin300384 China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin300384 China

ISBN: (纸本)9798350354010

Accurate fault diagnosis of planetary gearboxes (PGs) is crucial for preventing equipment failures and extending their lifespan. To enhance the efficiency and accuracy of PG fault diagnosis, this paper proposes a novel method integrating intrinsic time scale decomposition (ITD) with convolutional neural network (CNN). The proposed method leverages the demodulation capability of ITD to decompose and reconstruct the original signal, effectively removing irrelevant noise and isolating core fault features, and the learning ability of CNN to accurately identify the fault features. Compared to methods relying on CNN only, the proposed method not only improves the computational efficiency but also achieves higher fault diagnosis accuracy. © 2024 IEEE.

关键词： Convolutional neural networks

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Parametric Study on Performance of Parallel Asymmetric Nonlinear Energy Sinks

Parametric Study on Performance of Parallel Asymmetric Nonli...

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International Conference on Applied Nonlinear Dynamics, Vibration, and control, ICANDVC 2023

作者： Li, Huiyang Chen, Jianen Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin300384 China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin300384 China

ISBN: (纸本)9789819705535

The complexification-averaging method is utilized to study the amplitude-frequency response of a system connected to a parallel asymmetric nonlinear energy sink (NES) under harmonic excitation, and the Runge-Kutta method is used to analyze the change law of the frequency band of the higher branches of response and the strongly modulated responses with the assistance of the complexification-averaging method. Under shock loading, the effect of parallel asymmetric NES parameters on its vibration absorption efficiency is investigated. The results demonstrate that the frequency band of higher branches of response is widened by reducing the stiffness ratio, mass ratio, and damping ratio of the two NES, emphasizing the fact that the frequency band of the strongly modulated response can be widened or narrowed with the reduction of these parameters. Moreover, reducing the mass ratio and damping ratio of the two NESs decreases the vibration absorption efficiency when the system is subjected to a shock load. However, the vibration absorption efficiency increases by reducing the stiffness ratio. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Energy dissipation

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Research on workflow recognition for liver rupture repair surgery

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Mathematical Biosciences and Engineering 2024年第2期21卷 1844-1856页

作者： Men, Yutao Zhao, Zixian Chen, Wei Wu, Hang Zhang, Guang Luo, Feng Yu, Ming Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin300384 China Medical Support Technology Research Department Systems Engineering Institute Academy of Military Sciences People’s Liberation Army Tianjin300161 China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin300384 China

Liver rupture repair surgery serves as one tool to treat liver rupture, especially beneficial for cases of mild liver rupture hemorrhage. Liver rupture can catalyze critical conditions such as hemorrhage and shock. Surgical workflow recognition in liver rupture repair surgery videos presents a significant task aimed at reducing surgical mistakes and enhancing the quality of surgeries conducted by surgeons. A liver rupture repair simulation surgical dataset is proposed in this paper which consists of 45 videos collaboratively completed by nine surgeons. Furthermore, an end-to-end SA-RLNet, a self attention-based recurrent convolutional neural network, is introduced in this paper. The self-attention mechanism is used to automatically identify the importance of input features in various instances and associate the relationships between input features. The accuracy of the surgical phase classification of the SA-RLNet approach is 90.6%. The present study demonstrates that the SA-RLNet approach shows strong generalization capabilities on the dataset. SA-RLNet has proved to be advantageous in capturing subtle variations between surgical phases. The application of surgical workflow recognition has promising feasibility in liver rupture repair surgery. ©2024 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons.

关键词： Image classification

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Research on Task Scheduling Algorithms for Cloud-Edge Collaboration 19th

Research on Task Scheduling Algorithms for Cloud-Edge Collab...

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19th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QShine 2023

作者： Lu, Shuai Zhou, Haibo Zhao, Shuaishuai Xu, Wangbei Fang, Kai Tianjin300384 China Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin300384 China College of Mathematics and Computer Sciences Zhejiang A&F University Hangzhou311300 China

ISBN: (纸本)9783031651229

With the advent of the 5G era, the development of IoT technology has been accelerated. Due to the continuous increase in the amount of data waiting to be processed from the edge, edge nodes may struggle to handle such a vast amount of data. Therefore, the technology of cloud-edge collaboration has emerged, and how to achieve cloud-edge collaborative task scheduling has become a current research hotspot. This article provides a detailed exposition of the relevant work on task scheduling in the cloud-edge environment, and outlines the common optimization objectives in the cloud-edge collaboration scenario. The methods used to solve task scheduling problems are classified and summarized, including heuristic, heuristic algorithm based on linear programming, and meta-heuristic algorithms. The advantages and disadvantages of each algorithm are analyzed. Finally, the development trends of large-scale task scheduling in the cloud-edge environment are discussed, providing valuable insights for achieving real-time performance, efficiency, and energy conservation in the Internet of Things. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2024.

关键词： Scheduling algorithms

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Nonlinear Deep Subspace Network for Micro-expression Recognition 3

Nonlinear Deep Subspace Network for Micro-expression Recogni...

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3rd Workshop on Facial Micro-Expression: advanced Techniques for Multi-Modal Facial Expression Analysis, FME 2023

作者： Feng, Weijia Xu, Manlu Chen, Yuanxu Wang, Xiaofeng Guo, Jia Dai, Lei Wang, Nan Zuo, Xinyu Li, Xiaoxue College of Computer and Information Engineering Tianjin Normal University Tianjin China Ping An Technology Shenzhen China Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control Tianjin University of Technology Tianjin China

ISBN: (纸本)9798400702853

Deep learning (DL) models have been widely studied in the field of micro-expression recognition (MER). However, micro-expressions (MEs) suffer from small number of samples and difficulty in extracting subtle and transient features, resulting in limited improvement in the recognition performance. In addition, DL models are prone to overfitting problems and are difficult to extract discriminative features of facial actions from ME images or sequences. To address these issues, we propose a MER method that combines a nonlinear deep subspace network and optical flow features. Firstly, facial motion features are captured using optical flow computation, and then the optical flow features are input into a kernel principal component analysis network (KPCANet) to further learn deeper spatio-temporal features. Finally, a linear support vector machine (SVM) is used for ME classification. Experiments conducted on four public spontaneous ME datasets including SMIC, CASME, CASME II and SAMM validate the effectiveness of the proposed method. The experimental results demonstrate that the proposed method achieves even better recognition performance compared to existing state-of-the-art MER methods. © 2023 ACM.

关键词： Principal component analysis

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